LlamaIndex Embeddings Integration: AutoEmbeddings
AutoEmbeddings is a very useful module available within Chonkie that can initialize several different embeddings providers within one single interface:
- OpenAI
- Model2Vec
- Cohere
- Jina AI
- Sentence Transformers
You can install it with:
pip install llama-index-embeddings-autoembeddings
And then you can use it in your scripts as:
from llama_index.embeddings.autoembeddings import ChonkieAutoEmbedding
embedder = ChonkieAutoEmbedding(model_name="all-MiniLM-L6-v2")
vector = embedder.get_text_embedding(
"The quick brown fox jumps over the lazy dog."
)
print(vector)
If you want to use it with a non-local embeddings provider, you should declare the API key as an environment variable:
from llama_index.embeddings.autoembeddings import ChonkieAutoEmbedding
import os
os.environ["OPENAI_API_KEY"] = "YOUR-API-KEY"
embedder = ChonkieAutoEmbedding(model_name="text-embedding-3-large")
vector = embedder.get_text_embedding(
"The quick brown fox jumps over the lazy dog."
)
print(vector)
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